Surgical Treatment of Cervical Myeloradiculopathy Associated with Movement Disorders
Bibliographic record
Abstract
OBJECTIVE: Movement disorders may be associated with advanced cervical myeloradiculopathy, which represents a major management challenge. We report on eight patients with movement disorders causing progressive cervical myeloradiculopathy who were treated successfully by cervical decompression and reconstruction. RESULTS: The mean age of our patients was 44 years with a male/female ratio of 3:1. The average duration of symptoms prior to presentation was 10 months. The most common levels decompressed and reconstructed were C3-C4 and C4-C5. Six cases showed improvement, and two cases showed stabilization of neurologic status at a mean follow-up of 21 months. Our management strategy and results are interpreted in the context of a systematic review of the literature in which 78 cases are reported. CONCLUSIONS: Movement disorders cause premature cervical spondylosis most commonly involving the C3-C4 and C4-C5 levels. Ventral pathology with kyphotic angulation requires corpectomy or discectomy with or without posterior decompression and reconstruction. Decompression should always be combined with segmental internal fixation. Perioperative use of botulinum toxin and halo vest immobilization can increase the rate of clinical success but requires vigilance to minimize complications. Laminectomy with lateral mass fixation may be used successfully in the absence of kyphotic deformity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".